{"id":9066816209170,"title":"29 Next Get a Dispute Integration","handle":"29-next-get-a-dispute-integration","description":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eNext Dispute Retrieval Integration | Consultants In-A-Box\u003c\/title\u003e\n \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1\"\u003e\n \u003cstyle\u003e\n body {\n font-family: Inter, \"Segoe UI\", Roboto, sans-serif;\n background: #ffffff;\n color: #1f2937;\n line-height: 1.7;\n margin: 0;\n padding: 48px;\n }\n h1 { font-size: 32px; margin-bottom: 16px; }\n h2 { font-size: 22px; margin-top: 32px; }\n p { margin: 12px 0; }\n ul { margin: 12px 0 12px 24px; }\n \u003c\/style\u003e\n\n\n \u003ch1\u003eTurn Dispute Backlogs into Action: Next Dispute Retrieval Integration\u003c\/h1\u003e\n\n \u003cp\u003eThe Next Dispute Retrieval Integration is a focused service that repeatedly fetches the next unresolved dispute from your operations queue, normalizes the complaint data, and delivers it into the systems your teams already use. Put simply, it automates the step of “what’s next?” so teams stop hunting for work and start resolving it — faster, more consistently, and with better context.\u003c\/p\u003e\n \u003cp\u003eThis capability matters because disputes are time-sensitive, costly, and often awkwardly scattered across payment processors, support platforms, and internal spreadsheets. When a single automated process consistently hands the next dispute to the right workflow, businesses reduce response times, shrink manual effort, and produce measurable improvements in customer satisfaction and financial recovery.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eIn business terms, the integration acts like a smart inbox for disputes. It repeatedly polls or listens for new or pending disputes, applies a set of business rules to normalize and enrich the data, and then routes that dispute into the appropriate workflow or team. The integration can tag the dispute with priority, source, and required evidence, and can push or pull information between payment processors, ticketing systems, CRM, and order management systems.\u003c\/p\u003e\n \u003cp\u003eThe process typically follows four simple business steps:\n \u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eRetrieve: The system identifies the next unresolved dispute in the queue, ensuring no item is skipped or forgotten.\u003c\/li\u003e\n \u003cli\u003eEnrich: It consolidates related data — transaction records, customer messages, invoices, shipment tracking — into a single summary that humans or machines can act on.\u003c\/li\u003e\n \u003cli\u003eRoute: Based on business rules, the dispute is routed to a support team, collections unit, fraud analyst, or an automated responder.\u003c\/li\u003e\n \u003cli\u003eTrack \u0026amp; Update: Every action is logged, status changes are synchronized across systems, and outcomes are captured for audit and analysis.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAdding AI and agentic automation turns a repeatable retrieval flow into an adaptive, outcome-focused engine. Instead of simply handing the next dispute to a queue, AI agents can prioritize smartly, gather evidence automatically, draft initial responses, and even simulate resolution paths to recommend the most cost-effective action.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eIntelligent prioritization that weights financial impact, SLA deadlines, and customer lifetime value to surface the highest-value disputes first.\u003c\/li\u003e\n \u003cli\u003eAutomated evidence collection that pulls receipts, communication history, shipment proof, and policy snippets so human reviewers get the full story instantly.\u003c\/li\u003e\n \u003cli\u003eDynamic routing where AI agents decide whether a dispute should be auto-remediated, escalated to a specialist, or redirected to collections based on learned patterns.\u003c\/li\u003e\n \u003cli\u003eContext-aware draft responses that include pre-approved language and evidence references, reducing response time and ensuring compliance.\u003c\/li\u003e\n \u003cli\u003eContinuous learning where the system improves prioritization and suggested outcomes as it observes which actions lead to successful resolutions over time.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003e\n E-commerce chargebacks: An AI agent retrieves the next chargeback, assembles the transaction record and shipment proof, drafts an evidence package, and routes it to an investigator or files it automatically when confidence is high. Merchants reduce merchant fees and win rates improve because evidence is consistently complete and timely.\n \u003c\/li\u003e\n \u003cli\u003e\n Subscription billing disputes: For companies with recurring billing, the integration surfaces disputes tied to subscriptions, checks billing cycles and credits, and can automatically apply refunds or credits when business rules indicate a low-risk resolution.\n \u003c\/li\u003e\n \u003cli\u003e\n Marketplace disputes: Two-sided marketplaces often require mediation. The system pulls buyer and seller records, recent communications, proof of delivery, and policy references, and then routes the next dispute to a moderation agent or an automated escalation path.\n \u003c\/li\u003e\n \u003cli\u003e\n Vendor invoice disagreements: Finance teams receive vendor disputes about invoices. The integration fetches the next contested invoice, verifies matching purchase orders and receipts, and suggests resolution steps or routes to procurement for negotiation.\n \u003c\/li\u003e\n \u003cli\u003e\n High-volume seasonal spikes: Retailers facing holiday peaks use the integration to prevent disputes from piling up. Agents triage simple issues for automated remediation and free human teams to handle complex exceptions.\n \u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eWhen implemented thoughtfully, a Next Dispute Retrieval Integration delivers measurable improvements across operations, customer experience, and the bottom line.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eTime savings: Automating retrieval and enrichment reduces the time to first action dramatically. Teams spend less time searching for context and more time resolving issues — often cutting handling time by 30–70% depending on the prior level of manual overhead.\u003c\/li\u003e\n \u003cli\u003eLower costs: Faster, more consistent responses reduce chargeback fees, avoid unnecessary refunds, and lower the hours required per dispute. Automated evidence builds increase win rates on financial disputes.\u003c\/li\u003e\n \u003cli\u003eScalability: As dispute volume grows, the system scales without a linear increase in headcount. AI agents handle routine cases while humans focus on exceptions and strategy.\u003c\/li\u003e\n \u003cli\u003eReduced errors and better compliance: Standardized evidence packages, audit trails, and templated responses reduce mistakes and ensure responses meet regulatory or card network requirements.\u003c\/li\u003e\n \u003cli\u003eImproved customer satisfaction: Faster resolutions and clearer communications lead to higher customer satisfaction scores and reduce churn driven by poor dispute handling.\u003c\/li\u003e\n \u003cli\u003eInsight and prevention: Aggregated dispute data expose recurring product, fulfillment, or billing issues so teams can fix root causes and reduce future disputes.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eConsultants In-A-Box approaches dispute integrations with a focus on business outcomes rather than plumbing. Our process combines operational design, AI integration, and change management so the technology actually reduces workload and delivers measurable impact.\u003c\/p\u003e\n \u003cp\u003eCore activities we provide include:\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eDiscovery \u0026amp; scoring: We map your dispute lifecycle, identify where time and money are lost, and prioritize automation opportunities based on ROI and risk.\u003c\/li\u003e\n \u003cli\u003eWorkflow design: We design the “next dispute” flow — how disputes are picked, enriched, prioritized, and routed — ensuring alignment with teams and SLAs.\u003c\/li\u003e\n \u003cli\u003eAI agent design: We build and tune intelligent agents that perform tasks such as prioritization, evidence assembly, draft responses, and escalation decisioning while preserving human oversight where needed.\u003c\/li\u003e\n \u003cli\u003eSystem integration: We connect payment processors, CRMs, ticketing systems, and internal databases so dispute data flows seamlessly and updates are synchronized across platforms.\u003c\/li\u003e\n \u003cli\u003eOperational playbooks and training: We deliver runbooks and training for analysts so they know when to trust automation, how to interpret AI suggestions, and how to handle exceptions efficiently.\u003c\/li\u003e\n \u003cli\u003eMonitoring \u0026amp; optimization: After launch, we monitor outcomes, refine rules and models, and extend automation into new dispute categories as confidence grows.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eFinal Thoughts\u003c\/h2\u003e\n \u003cp\u003eA Next Dispute Retrieval Integration turns an often chaotic, manual queue into a predictable, outcome-driven process. By combining reliable retrieval and enrichment with AI-powered prioritization and automation, organizations reduce manual effort, improve financial outcomes, and deliver faster, clearer resolutions to customers. The result is a dispute workflow that scales with your business, reduces risk, and turns dispute data into a strategic asset for prevention and process improvement.\u003c\/p\u003e\n\n\u003c\/body\u003e","published_at":"2024-02-11T00:04:40-06:00","created_at":"2024-02-11T00:04:41-06:00","vendor":"29 Next","type":"Integration","tags":[],"price":0,"price_min":0,"price_max":0,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":48027794309394,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"29 Next Get a Dispute Integration","public_title":null,"options":["Default Title"],"price":0,"weight":0,"compare_at_price":null,"inventory_management":null,"barcode":null,"requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/consultantsinabox.com\/cdn\/shop\/products\/02f68e7a6ba6a3b7d00089dfde522550_5f00c4dd-97c1-41ef-8f9e-d758931e9464.png?v=1707631481"],"featured_image":"\/\/consultantsinabox.com\/cdn\/shop\/products\/02f68e7a6ba6a3b7d00089dfde522550_5f00c4dd-97c1-41ef-8f9e-d758931e9464.png?v=1707631481","options":["Title"],"media":[{"alt":"29 Next Logo","id":37467330150674,"position":1,"preview_image":{"aspect_ratio":1.0,"height":440,"width":440,"src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/02f68e7a6ba6a3b7d00089dfde522550_5f00c4dd-97c1-41ef-8f9e-d758931e9464.png?v=1707631481"},"aspect_ratio":1.0,"height":440,"media_type":"image","src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/02f68e7a6ba6a3b7d00089dfde522550_5f00c4dd-97c1-41ef-8f9e-d758931e9464.png?v=1707631481","width":440}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eNext Dispute Retrieval Integration | Consultants In-A-Box\u003c\/title\u003e\n \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1\"\u003e\n \u003cstyle\u003e\n body {\n font-family: Inter, \"Segoe UI\", Roboto, sans-serif;\n background: #ffffff;\n color: #1f2937;\n line-height: 1.7;\n margin: 0;\n padding: 48px;\n }\n h1 { font-size: 32px; margin-bottom: 16px; }\n h2 { font-size: 22px; margin-top: 32px; }\n p { margin: 12px 0; }\n ul { margin: 12px 0 12px 24px; }\n \u003c\/style\u003e\n\n\n \u003ch1\u003eTurn Dispute Backlogs into Action: Next Dispute Retrieval Integration\u003c\/h1\u003e\n\n \u003cp\u003eThe Next Dispute Retrieval Integration is a focused service that repeatedly fetches the next unresolved dispute from your operations queue, normalizes the complaint data, and delivers it into the systems your teams already use. Put simply, it automates the step of “what’s next?” so teams stop hunting for work and start resolving it — faster, more consistently, and with better context.\u003c\/p\u003e\n \u003cp\u003eThis capability matters because disputes are time-sensitive, costly, and often awkwardly scattered across payment processors, support platforms, and internal spreadsheets. When a single automated process consistently hands the next dispute to the right workflow, businesses reduce response times, shrink manual effort, and produce measurable improvements in customer satisfaction and financial recovery.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eIn business terms, the integration acts like a smart inbox for disputes. It repeatedly polls or listens for new or pending disputes, applies a set of business rules to normalize and enrich the data, and then routes that dispute into the appropriate workflow or team. The integration can tag the dispute with priority, source, and required evidence, and can push or pull information between payment processors, ticketing systems, CRM, and order management systems.\u003c\/p\u003e\n \u003cp\u003eThe process typically follows four simple business steps:\n \u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eRetrieve: The system identifies the next unresolved dispute in the queue, ensuring no item is skipped or forgotten.\u003c\/li\u003e\n \u003cli\u003eEnrich: It consolidates related data — transaction records, customer messages, invoices, shipment tracking — into a single summary that humans or machines can act on.\u003c\/li\u003e\n \u003cli\u003eRoute: Based on business rules, the dispute is routed to a support team, collections unit, fraud analyst, or an automated responder.\u003c\/li\u003e\n \u003cli\u003eTrack \u0026amp; Update: Every action is logged, status changes are synchronized across systems, and outcomes are captured for audit and analysis.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAdding AI and agentic automation turns a repeatable retrieval flow into an adaptive, outcome-focused engine. Instead of simply handing the next dispute to a queue, AI agents can prioritize smartly, gather evidence automatically, draft initial responses, and even simulate resolution paths to recommend the most cost-effective action.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eIntelligent prioritization that weights financial impact, SLA deadlines, and customer lifetime value to surface the highest-value disputes first.\u003c\/li\u003e\n \u003cli\u003eAutomated evidence collection that pulls receipts, communication history, shipment proof, and policy snippets so human reviewers get the full story instantly.\u003c\/li\u003e\n \u003cli\u003eDynamic routing where AI agents decide whether a dispute should be auto-remediated, escalated to a specialist, or redirected to collections based on learned patterns.\u003c\/li\u003e\n \u003cli\u003eContext-aware draft responses that include pre-approved language and evidence references, reducing response time and ensuring compliance.\u003c\/li\u003e\n \u003cli\u003eContinuous learning where the system improves prioritization and suggested outcomes as it observes which actions lead to successful resolutions over time.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003e\n E-commerce chargebacks: An AI agent retrieves the next chargeback, assembles the transaction record and shipment proof, drafts an evidence package, and routes it to an investigator or files it automatically when confidence is high. Merchants reduce merchant fees and win rates improve because evidence is consistently complete and timely.\n \u003c\/li\u003e\n \u003cli\u003e\n Subscription billing disputes: For companies with recurring billing, the integration surfaces disputes tied to subscriptions, checks billing cycles and credits, and can automatically apply refunds or credits when business rules indicate a low-risk resolution.\n \u003c\/li\u003e\n \u003cli\u003e\n Marketplace disputes: Two-sided marketplaces often require mediation. The system pulls buyer and seller records, recent communications, proof of delivery, and policy references, and then routes the next dispute to a moderation agent or an automated escalation path.\n \u003c\/li\u003e\n \u003cli\u003e\n Vendor invoice disagreements: Finance teams receive vendor disputes about invoices. The integration fetches the next contested invoice, verifies matching purchase orders and receipts, and suggests resolution steps or routes to procurement for negotiation.\n \u003c\/li\u003e\n \u003cli\u003e\n High-volume seasonal spikes: Retailers facing holiday peaks use the integration to prevent disputes from piling up. Agents triage simple issues for automated remediation and free human teams to handle complex exceptions.\n \u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eWhen implemented thoughtfully, a Next Dispute Retrieval Integration delivers measurable improvements across operations, customer experience, and the bottom line.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eTime savings: Automating retrieval and enrichment reduces the time to first action dramatically. Teams spend less time searching for context and more time resolving issues — often cutting handling time by 30–70% depending on the prior level of manual overhead.\u003c\/li\u003e\n \u003cli\u003eLower costs: Faster, more consistent responses reduce chargeback fees, avoid unnecessary refunds, and lower the hours required per dispute. Automated evidence builds increase win rates on financial disputes.\u003c\/li\u003e\n \u003cli\u003eScalability: As dispute volume grows, the system scales without a linear increase in headcount. AI agents handle routine cases while humans focus on exceptions and strategy.\u003c\/li\u003e\n \u003cli\u003eReduced errors and better compliance: Standardized evidence packages, audit trails, and templated responses reduce mistakes and ensure responses meet regulatory or card network requirements.\u003c\/li\u003e\n \u003cli\u003eImproved customer satisfaction: Faster resolutions and clearer communications lead to higher customer satisfaction scores and reduce churn driven by poor dispute handling.\u003c\/li\u003e\n \u003cli\u003eInsight and prevention: Aggregated dispute data expose recurring product, fulfillment, or billing issues so teams can fix root causes and reduce future disputes.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eConsultants In-A-Box approaches dispute integrations with a focus on business outcomes rather than plumbing. Our process combines operational design, AI integration, and change management so the technology actually reduces workload and delivers measurable impact.\u003c\/p\u003e\n \u003cp\u003eCore activities we provide include:\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eDiscovery \u0026amp; scoring: We map your dispute lifecycle, identify where time and money are lost, and prioritize automation opportunities based on ROI and risk.\u003c\/li\u003e\n \u003cli\u003eWorkflow design: We design the “next dispute” flow — how disputes are picked, enriched, prioritized, and routed — ensuring alignment with teams and SLAs.\u003c\/li\u003e\n \u003cli\u003eAI agent design: We build and tune intelligent agents that perform tasks such as prioritization, evidence assembly, draft responses, and escalation decisioning while preserving human oversight where needed.\u003c\/li\u003e\n \u003cli\u003eSystem integration: We connect payment processors, CRMs, ticketing systems, and internal databases so dispute data flows seamlessly and updates are synchronized across platforms.\u003c\/li\u003e\n \u003cli\u003eOperational playbooks and training: We deliver runbooks and training for analysts so they know when to trust automation, how to interpret AI suggestions, and how to handle exceptions efficiently.\u003c\/li\u003e\n \u003cli\u003eMonitoring \u0026amp; optimization: After launch, we monitor outcomes, refine rules and models, and extend automation into new dispute categories as confidence grows.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eFinal Thoughts\u003c\/h2\u003e\n \u003cp\u003eA Next Dispute Retrieval Integration turns an often chaotic, manual queue into a predictable, outcome-driven process. By combining reliable retrieval and enrichment with AI-powered prioritization and automation, organizations reduce manual effort, improve financial outcomes, and deliver faster, clearer resolutions to customers. The result is a dispute workflow that scales with your business, reduces risk, and turns dispute data into a strategic asset for prevention and process improvement.\u003c\/p\u003e\n\n\u003c\/body\u003e"}